Intelligent target recognition based on the data fusion of radar and infrared imaging sensor

In order to improve the performance of target recognition system, an intelligent target recognition method based on the data fusion of radar and infrared imaging sensor was proposed. For infrared sensor, the recognition algorithm of target image based on wavelet moment features and BP neural network was employed. The wavelet moment features were extracted to select some features, and the target image was recognized through BP neural network. For radar sensor, the target recognition method based on fuzzy reasoning was presented. The appropriate radar features were extracted, and the target image was recognized through fuzzy reasoning. Then, the two basic probability assignment functions were obtained from radar and infrared recognition algorithms respectively. Finally, Dempster-Shafer theory was used to combine the two basic probability assignment functions, and the data fusion of radar and infrared sensors was achieved. Simulation results indicate that the recognition performance by data fusion is much better than that by single radar sensor or single infrared sensor.